Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Forschungszentrum Jülich
- National University of Singapore
- Carnegie Mellon University
- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- Princeton University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- HHMI
- Harvard University
- Technical University of Munich
- Argonne
- Nanyang Technological University
- The Ohio State University
- University of Sheffield
- Duke University
- ETH Zurich
- McGill University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Imperial College London
- Lawrence Berkeley National Laboratory
- University of Birmingham
- University of Luxembourg
- DAAD
- Hong Kong Polytechnic University
- Inria, the French national research institute for the digital sciences
- Leibniz
- Linköping University
- New York University
- North Carolina State University
- Northeastern University
- Pennsylvania State University
- SUNY Polytechnic Institute
- Stanford University
- Technical University of Denmark
- University of California
- University of Central Florida
- University of Glasgow
- University of Miami
- University of Nevada Las Vegas
- University of North Carolina at Chapel Hill
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aarhus University
- California Institute of Technology
- Central Michigan University
- Cornell University
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- Fraunhofer-Gesellschaft
- Jane Street Capital
- K3Y Ltd
- Koç University
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- NIST
- National Renewable Energy Laboratory NREL
- Rutgers University
- SciLifeLab
- Stony Brook University
- University of Colorado
- University of Florida
- University of Nebraska Medical Center
- University of Oslo
- University of Pennsylvania
- University of South Carolina
- University of Southern Denmark
- University of Texas at Arlington
- University of Toronto
- University of Utah
- University of Washington
- Utrecht University
- VIB
- AALTO UNIVERSITY
- AI4I
- AIT Austrian Institute of Technology
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
- Aalborg University
- Academic Europe
- Auburn University
- Barnard College
- Binghamton University
- Blekinge Institute of Technology
- Brookhaven National Laboratory
- Brown University
- Cardiff University
- Case Western Reserve University
- Center for Devices and Radiological Health (CDRH)
- Centro de Astrofisica da Universidade do Porto
- Chalmers University of Technology
- City of Hope
- Czech Technical University in Prague
- Delft University of Technology (TU Delft)
- Drexel University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- Electronics and Informatics Department
- Embry-Riddle Aeronautical University
- FAPESP - São Paulo Research Foundation
- 90 more »
- « less
-
Field
-
-based CPUs and accelerators such as NVIDIA or AMD GPUs. ● Experience working in an academic research computing center or large-scale HPC environment. ● Experience with GPU computing and
-
adaptive optimization during needle insertion, integrating live ultrasound imaging with GPU-accelerated dose calculation and optimization. The Postdoctoral Research Associate will join a multidisciplinary
-
frameworks). Experience using open-source model ecosystems such as Hugging Face (Transformers, Datasets, Accelerate). Experience using or supporting supercomputing or GPU-enabled clusters. Experience with data
-
. Duties: Develop and execute a strategic roadmap for research computing infrastructure, including GPU-enabled high-performance computing (HPC) environments and enterprise storage systems including
-
optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a
-
research, research groups require access to high performance data storage for data-intensive processing, visualization for data analysis, GPUs, access to cloud services and research infrastructure skills
-
Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX Experience with HPC and GPU-accelerated computing Familiarity with foundation models / LLMs; interest in reproducible
-
strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
-
of predicting electronic, structural, and thermal quantities while leveraging underlying symmetries for computational efficiency. There will be a significant computational component in deploying multi-GPU codes
-
hardware architects to establish how agentic AI and these languages co‑design with heterogeneous HPC systems (CPUs, GPUs, PIM, AI accelerators). Study performance and portability tradeoffs, leveraging